Machine translation quality in an audiovisual context
نویسندگان
چکیده
منابع مشابه
Context in Machine Translation
Language is not static. The words we select to convey a concept and the semantics of individual words change based on subject, audience, and one’s cumulative life experience. The wonder of it all is that language is still an effective and meaningful mode of communication. With regard to machine translation, this is a troubling scenario. Computers excel at deterministic tasks; modeling a phenome...
متن کاملdevelopment and implementation of an optimized control strategy for induction machine in an electric vehicle
in the area of automotive engineering there is a tendency to more electrification of power train. in this work control of an induction machine for the application of electric vehicle is investigated. through the changing operating point of the machine, adapting the rotor magnetization current seems to be useful to increase the machines efficiency. in the literature there are many approaches wh...
15 صفحه اولAvlaughtercycle: an Audiovisual Laughing Machine
The AVLaughterCycle project aims at developing an audiovisual laughing machine, capable of recording the laughter of a user and to respond to it with a machine-generated laughter linked with the input laughter. During the project, an audiovisual laughter database was recorded, including facial points tracking, thanks to the Smart Sensor Integration software developed by the University of Augsbu...
متن کاملUtilizing Source Context in Statistical Machine Translation
Current methods for statistical machine translation typically utilize only a limited context in the input sentence. Many language phenomena thus remain out of their reach, for example long-distance agreement in morphologically rich languages or lexical selection often require information from the whole source sentence. In this work, we present an overview of approaches for including wider conte...
متن کاملImages as Context in Statistical Machine Translation∗
This paper reports ongoing experiments towards exploiting the use of images to provide additional context for statistical machine translation (SMT). We investigate whether this contextual information can be helpful in targeting two well-known challenges in machine translation: ambiguity (incorrect translation of words that have multiple senses) and out-of-vocabulary words (words left untranslat...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Target
سال: 2016
ISSN: 0924-1884,1569-9986
DOI: 10.1075/target.28.2.03bur